Group Leader

NobleGreen

Description

I’ve been thinking a lot about how development decisions made early on can quietly shape everything later in a project. In one of our internal tools for processing user data, we initially focused only on speed of delivery, but later ran into issues when we needed to integrate smarter automation features. While researching how other companies approach this, I came across this case study about applied AI in enterprise systems: https://www.trinetix.com/services/generative-ai-services. What stood out to me was how they didn’t just “add AI,” but actually redesigned parts of their workflow around it. In your experience, do teams usually adapt systems around new tech, or try to fit new tech into existing architecture without major changes?

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